Finite Math and Applied Calculus (6th Edition)

Published by Brooks Cole
ISBN 10: 1133607705
ISBN 13: 978-1-13360-770-0

Chapter 7 - Section 7.6 - Bayes' Theorem and Applications - Exercises - Page 518: 4

Answer

$P(X|Y)=\frac{.6\times.6}{.6\times.6+.3\times .4}= .75$

Work Step by Step

Accordint to Bayes' theorem: $P(A|B)=\frac{P(B|A)P(A)}{P(B|A)P(A)+P(B|A')P(A')}$ Here, we have $P(X|Y)= .6$ $P(Y')= .4$ $P(X|Y')= .3$ Be aware, that X and Y equal to B and A in the definition of the theorem, respectively. We know, that $P(Y)=1-P(Y')=1-.4=.6$ We can substitute into the definition: $P(X|Y)=\frac{.6\times.6}{.6\times.6+.3\times .4}= .75$
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